DocumentCode
281322
Title
Multisignal spectral estimation using an iterative relative entropy method
Author
Alsaka, Y.A. ; Tzannes, N.S. ; Gregory, D.M.
Author_Institution
Dept. of Electr. Eng. & Commun. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear
1988
fDate
11-13 Apr 1988
Firstpage
45
Lastpage
49
Abstract
A generalization of a method of spectral estimation by M.A. Tzaness, Ch. Moussas, and N.S. Tzannes (1984) is presented. The algorithm extends the method to the multiple signals case while still using an iterative procedure of the relative entropy method for estimating the spectral densities of the multisignal input data. Several current methods of relative entropy spectral estimation which involve solving N nonlinear equations simultaneously are also presented. The performance of the presented algorithm is compared to the maximum-entropy and other relative entropy methods, in terms of precision and computational efficiency. Classical examples are repeated and compared between the different methods
Keywords
iterative methods; signal processing; spectral analysis; iterative relative entropy method; maximum entropy; multiple signals case; multisignal spectral estimation; Autocorrelation; Entropy; Filters; Gaussian noise; Iterative algorithms; Iterative methods; Lagrangian functions; Nonlinear equations; Signal processing; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '88., IEEE Conference Proceedings
Conference_Location
Knoxville, TN
Type
conf
DOI
10.1109/SECON.1988.194813
Filename
194813
Link To Document